Satellite Remote Sensing Of Aerosol Optical Thickness And Xi'an PM Concentration Relationship Model 10

With the rapid development of social progress and economy, air pollution problem has become increasingly prominent in China. Because monitoring spatial and temporal variability of air quality using satellite observation data can overcome the limitations of ground-based measurements, it has been widely used to derive timely information on air pollution on a global or regional scale.In this paper, we analyzed the relationship between aerosol optical depth (AOD) and PM10concentrations over the region of Xi’an city. And the AOD-PM10correlation was modeled based on the AOD data retrieved from3satellites observations and daily PM10concentrations measured in the ground sites during the period from2011to2012. Finally, we verified this model, and analyzed the results calculated from it.The linear regression models of AOD-PM10were built between ground-based PM10concentrations and AOD data with different spatial resolutions. The results indicated that the AOD-PM10correlations for three spatial resolutions were all poor if we built the models directly using the ground-based PM10concentrations and AOD data, which is not favorable for the air pollution monitoring.Major results in this paper are summarized as follows:(1) Through the vertical and relative humidity corrections, the annual correlation coefficients between AODs and PM10concentrations can be significantly improved to above0.62. If we built the seasonal models, the seasonal correlation coefficients can also be improved compared with the annual ones.(2) The annual and seasonal models were verified, respectively. The results showed that the retrieved PM10concentrations calculated from our models are in good agreement with ground-based measurements, especially for MODIS and FY-3A data, which means our models are reliable and applicable.(3) Atmospheric PM10concentrations can be retrieved using the satellite AOD data accurately. Therefore, remote sensing can provide an effective method for monitoring PM10concentrations on a large scale, and can supplement the lack of ground-based measurements in and around Xi’an city. This study provides an efficient way of monitoring and controlling air pollution for western large cities in China,especially for Xi’an city.